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Role: Data Science Developer

College: Not Specified

Interview Date: Not Specified

Interview Type: Full-Time

Result: Rejected

Difficulty: Not Specified

Rounds: 4 rounds

Topics Asked: Data Structures and Algorithms (Stack, Array manipulation), SQL, Deep Learning, System Design, Project discussions, Artificial Neural Networks (ANN), Audio-related projects, Resume

Experience:

This candidate detailed their Data Science Developer interview experience at LG Soft (R&D) in Bangalore, published on August 11, 2025. With 4 years of experience, the candidate went through a comprehensive process but was ultimately not selected.

Preliminary Round – Online Coding Assessment: This assessment was hosted on a platform similar to HackerRank with a 2-hour time limit, completed in 30 minutes. It included:

• An easy Data Structures and Algorithms (DSA) question: a stack-based problem (LeetCode Easy level).
• A medium DSA question: an array manipulation problem involving repeated minimum element deletion based on index priority (LeetCode Medium level).
• An easy SQL question: a join-based query involving two tables (clients (id, mac) and traffic (clientid, amount)) to find active MAC addresses with traffic.

Round 1 (L1) – Technical Interview: This interview lasted nearly two hours. The feedback was generally positive, with a suggestion to improve Deep Learning knowledge.

Round 2 (L2) – Technical + System Design (90 mins, F2F at LG Soft Bangalore): Conducted by a senior engineer, this round began with detailed discussions about the candidate's projects. Due to previous feedback, there was a heavy focus on Deep Learning. The key task was to design an Artificial Neural Network (ANN) for an XOR gate end-to-end and write the complete code on paper. A final question asked about any experience in audio-related projects.

Round 3 – Fitment Round: This round was part of the overall process.

Final Outcome: Two days after the interviews, feedback indicated that while the candidate performed well, the company preferred a candidate with specific audio project experience. The entire process, from recruiter call to final feedback, was completed within one week. The candidate described it as a valuable and positive learning experience.

Tips: The candidate advised keeping LinkedIn, Naukri profiles, and resumes updated, being confident with Easy and Medium DSA problems, and not neglecting SQL.